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Inferential Statistics Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
14 days
Duration
14 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

The Inferential Statistics course is offered by Coursera in partnership with University of Amsterdam is part of the Methods and Statistics in Social Sciences Specialization.

Overview

Skills You Will Gain with Inferential Statistics course is offered by Coursera in partnership with University of Amsterdam:

  • Probability & Statistics
  • General Statistics
  • Regression
  • Statistical Programming
  • Experiment

Key facts

  • Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population.
  • We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. 
  • Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. 
  • For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. You will also learn how to perform these tests using freely available software. 

Programme Structure

Courses included:

  • Comparing two groups
  • Categorical association
  • Simple regression
  • Multiple regression
  • Analysis of variance
  • Non-parametric tests
  • Exam time!

Key information

Duration

  • Part-time
    • 14 days
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • To obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources. 

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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